docstr: Cov(Y, Y)^{-1/2}Cov(Y, X)`.
docstr_tok: ["Cov","(","Y",",","Y",")","^","{","-1\/2","}","Cov","(","Y",",","X",")","`","."]
code: def _iLyy_Kyx(self) -> Tensor:
      r"""Cov(Y, Y)^{-1/2}Cov(Y, X)`."""
      return torch.linalg.solve_triangular(
          self.gauss.scale_tril,
          self.cross_covariance_matrix.transpose(-1, -2),
          upper=False,
      )
  
imports: from __future__ import annotations
  from inspect import getmembers
  from typing import Optional, Sequence, Union
  import torch
  from botorch.utils.probability.linalg import augment_cholesky, block_matrix_concat
  from botorch.utils.probability.mvnxpb import MVNXPB
  from botorch.utils.probability.truncated_multivariate_normal import TruncatedMultivariateNormal
  from linear_operator.operators import LinearOperator
  from linear_operator.utils.errors import NotPSDError
  from torch import Tensor
  from torch.distributions.multivariate_normal import Distribution, MultivariateNormal
  from torch.distributions.utils import lazy_property
  from torch.nn.functional import pad
label_desc: Use image node_id 10 for calling the UnifiedSkewNormal obj's underlying member method code with example usage: obj._iLyy_Kyx() and returns: torch